Dey D - Search Results

1

Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study.

Tamarappoo BK, Lin A, Commandeur F, McElhinney PA, Cadet S, Goeller M, Razipour A, Chen X, Gransar H, Cantu S, Miller RJ, Achenbach S, Friedman J, Hayes S, Thomson L, Wong ND, Rozanski A, Slomka PJ, Berman DS, Dey D. Tamarappoo BK, et al. Among authors: dey d. Atherosclerosis. 2021 Feb;318:76-82. doi: 10.1016/j.atherosclerosis.2020.11.008. Epub 2020 Nov 13. Atherosclerosis. 2021. PMID: 33239189 Free PMC article.

2

Review of instrumentation developments at the SNM 1996 annual meeting.

Slomka P, Dey D. Slomka P, et al. Among authors: dey d. J Nucl Med. 1996 Sep;37(9):25N-26N, 31N-33N. J Nucl Med. 1996. PMID: 8790185 Free article. No abstract available.

3

Comparison of ordered subsets expectation maximization and Chang's attenuation correction method in quantitative cardiac SPET: a phantom study.

Dey D, Slomka PJ, Hahn LJ, Kloiber R. Dey D, et al. Nucl Med Commun. 1998 Dec;19(12):1149-57. doi: 10.1097/00006231-199812000-00007. Nucl Med Commun. 1998. PMID: 9885805

4

Automated three-dimensional quantification of myocardial perfusion and brain SPECT.

Slomka PJ, Radau P, Hurwitz GA, Dey D. Slomka PJ, et al. Among authors: dey d. Comput Med Imaging Graph. 2001 Mar-Apr;25(2):153-64. doi: 10.1016/s0895-6111(00)00044-6. Comput Med Imaging Graph. 2001. PMID: 11137792

5

Automatic fusion of freehand endoscopic brain images to three-dimensional surfaces: creating stereoscopic panoramas.

Dey D, Gobbi DG, Slomka PJ, Surry KJ, Peters TM. Dey D, et al. IEEE Trans Med Imaging. 2002 Jan;21(1):23-30. doi: 10.1109/42.981231. IEEE Trans Med Imaging. 2002. PMID: 11842826

6

Automated 3-dimensional registration of stand-alone (18)F-FDG whole-body PET with CT.

Slomka PJ, Dey D, Przetak C, Aladl UE, Baum RP. Slomka PJ, et al. Among authors: dey d. J Nucl Med. 2003 Jul;44(7):1156-67. J Nucl Med. 2003. PMID: 12843232 Free article.

7

Acceleration of 3D, nonlinear warping using standard video graphics hardware: implementation and initial validation.

Levin D, Dey D, Slomka PJ. Levin D, et al. Among authors: dey d. Comput Med Imaging Graph. 2004 Dec;28(8):471-83. doi: 10.1016/j.compmedimag.2004.07.005. Comput Med Imaging Graph. 2004. PMID: 15541954

8

Direct quantitative in vivo comparison of calcified atherosclerotic plaque on vascular MRI and CT by multimodality image registration.

Dey D, Slomka P, Chien D, Fieno D, Abidov A, Saouaf R, Thomson L, Friedman JD, Berman DS. Dey D, et al. J Magn Reson Imaging. 2006 Mar;23(3):345-54. doi: 10.1002/jmri.20520. J Magn Reson Imaging. 2006. PMID: 16463307

9

Computer-aided detection and evaluation of lipid-rich plaque on noncontrast cardiac CT.

Dey D, Callister T, Slomka P, Aboul-Enein F, Nishina H, Kang X, Gransar H, Wong ND, Miranda-Peats R, Hayes S, Friedman JD, Berman DS. Dey D, et al. AJR Am J Roentgenol. 2006 Jun;186(6 Suppl 2):S407-13. doi: 10.2214/AJR.05.0189. AJR Am J Roentgenol. 2006. PMID: 16714617

10

Automated quantitation of pericardiac fat from noncontrast CT.

Dey D, Suzuki Y, Suzuki S, Ohba M, Slomka PJ, Polk D, Shaw LJ, Berman DS. Dey D, et al. Invest Radiol. 2008 Feb;43(2):145-53. doi: 10.1097/RLI.0b013e31815a054a. Invest Radiol. 2008. PMID: 18197067

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